3 дня назад
AI Architect
150 000 - 200 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
AI Architect (Azure AI/LLM): Defining enterprise AI architectures, standards, and governance for healthcare-grade LLM applications, RAG systems, and ML services with an accent on Azure AI, HIPAA-aligned security, and Responsible AI. Focus on designing reusable AI platforms, operationalizing evaluation and safety controls, and guiding production architecture across product, data, security, and compliance teams.
Location: Remote, based in the United States
Salary: $150,000–$200,000 per year, depending on experience.
Company
builds web-based software that helps behavioral health organizations coordinate service delivery and improve quality of care.
What you will do
- Define enterprise reference architectures and standards for LLM applications, RAG systems, classical machine learning, and AI-enabled services.
- Establish reusable patterns for embeddings, vector search, prompt orchestration, safety layers, evaluation, lineage, observability, and cost governance.
- Own platform and tooling decisions across Azure AI Foundry, Azure OpenAI, Azure AI Search, Azure ML, Databricks, and data orchestration platforms.
- Embed PHI/PII safeguards, HIPAA-aligned controls, encryption, RBAC, de-identification, auditability, and Responsible AI requirements into delivery processes.
- Lead architecture reviews, manage exceptions and migration plans, and advise teams on grounding, tool calling, evaluation, hallucination, safety, drift, latency, and cost.
- Collaborate with engineering, data science, platform, security, compliance, and product teams while mentoring teams and publishing technical standards and architecture decision records.
Requirements
- Bachelor’s degree in computer science, information technology, health informatics, or a related field.
- 10+ years of software or solution architecture experience, including 5+ years with AI/ML systems and 2+ years leading enterprise AI architecture or platform initiatives.
- Deep Azure experience, including Azure AI Foundry/Studio, Azure OpenAI, Azure AI Search, Azure ML, Key Vault, networking, IAM, encryption, logging, and monitoring.
- Hands-on experience with OpenAI or Anthropic models, prompt and tool-calling patterns, grounding/RAG, model evaluation, Responsible AI, and red-teaming.
- Experience with PHI/PII protection, HIPAA-aligned design, Databricks, Spark, Airflow or Azure Data Factory/Synapse, MLOps, SQL Server, and enterprise .NET integration.
- Strong communication and influence skills, with experience leading architecture reviews and driving cross-functional technical decisions.
Nice to have
- Healthcare domain knowledge, including FHIR/HL7, EHR or claims data, clinical NLP, and revenue cycle management.
- Experience with GPU/CUDA optimization, quantization, distillation, caching, token budgeting, and multi-tenant cost control.
- Security or compliance certifications such as HCISPP or CISSP.
- Experience creating reusable AI accelerators, libraries, or platform capabilities adopted by multiple teams.
Culture & Benefits
- Flexible remote work environment focused on collaboration and productivity.
- Competitive compensation and benefits package.
- Opportunities for professional growth and continued learning.
- Work on healthcare technology used by behavioral health organizations.
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